Objective To investigate self efficacy of condom use among mobile female population and to analyze related factors so as to provide evidence for relevant interventions.Methods One hundred and eighteen women working as waitresses in hotels in Beijing were interviewed with questionnaires.Results The average score of self-efficacy of condom use among the studied women was 45.42?8.26,and the self-efficay of condom use among them varied with their age,marital status and incomes;their attitude towards condom use and knowledge about correct condom use had obvious effect on the score of self-efficacy.Conclusion Mobile female population have a middle level of condom use self-efficacy,and there is a need to improve their condom use efficacy through training,especially for those unmarried young women with lower incomes.

Bronchogenic Cyst ; Humans ; Laryngeal Diseases ; Male ; Middle Aged

Objective To study the effect of Coxsackie virus B3 (CVB3) infection on islet cells in vitro, and to explore the mechanism of islet cells caused by CVB3. Methods Bone marrow mesenchymal stem cells( BMSCs) were separated from the bone marrow and cultured. Then they were induced to differentiate into islet-like cells using nicotinamide and mercaptoethanol. Differentiated cells were detected by morphology , special staining and RT-PCR. Observe CVB3 infection on islet cells under inverse microscope and detect the specific gene fragment by RT-PCR. Results BMSCs showed half suspended shape and gathered to form a cluster after induction. Cells became red brown by dithizone specific staining. RT-PCR also proved the existence of mRNA expressing insulin. Infected islet cells appeared typical pathological changes like shrinks, refraction decreases. RT-PCR detected the desired specific gene fragment of 299 bp in infected islet cells. Conclusion CVB3 can directly injury islet cells, and damage the function of islet cells of secreting insulin.

The effects of reaction temperature, pH, substrate and enzyme concentration, deacetylation degree of chitosan on the hydrolytic velocity of chitosan by Lysozyme were investigated. The results showed that the specificity of catalyst obey the dynamics of michae-lis-Menten. The optimum temperature and pH were 50℃ and 6. 0 respectively, the reaction velocity was reduced while the deacetylation degree of chitosan was raised. The mean molecular weight of low molecular chitosan has been determined by high performance liquid chro-matography method, the mean molecular weight was 8328.

Aim To explore the function of immune modulation of anti-HBV iRNA in patients with chronic hepatitis B(CHB) Methods Peripheral blood lymphocyte iRNA was prepared from anti-HBs positive human body with HBV complete clearance after HBV infection(h-iRNA). The effect of h-iRNA on HBV specific lymphocyte proliferative response of peripheral lymphocyte from patients with CHB was observed by using MTT method and was compared with that by HBV specific iRNA from animal immunized only by HBsAg(a-iRNA).Results Both h-iRNA and a-iRNA increased the level of peripheral lymphocyte proliferative response to HBsAg in patients with CHB to some degree. In group of HBcAg, only h-iRNA showed its enhancement of HBcAg specific lymphocyte proliferative response.Conclusions h-iRNA can increase HBV specific lymphocyte proliferative response in patients with CHB and the function of increasing HBcAg specific lymphocyte proliterative response contributes to HBV clearance .

Animals ; Antibody-Producing Cells ; drug effects ; Female ; Immunity ; drug effects ; Male ; Mice ; Mice, Inbred BALB C ; Phenols ; toxicity ; T-Lymphocytes ; drug effects

Cardiovascular System ; GATA4 Transcription Factor ; metabolism ; Humans

Adult ; Female ; Humans ; Male ; Medical Staff ; Middle Aged ; Occupational Exposure ; Phosgene ; poisoning ; Poisoning ; etiology ; Young Adult

This paper presented the conventional methods for signal detection of adverse drug reactions (ADRs) and their applications, the research progress in ADRs signal mining based on healthcare big data, and briefed the methods and uses of ADRs prediction using machine learning technology in the era of healthcare big data.The conclusion was that deep learning, as a fast growing tool in machine learning, will become hotspot of research, expected to help with ADRs signal mining and rational clinical drug use.